A system performs mobile biometric identification system enrollment using a known biometric. The system receives a digital representation of a first biometric for a person. Prior to using the digital representation of the first biometric to identify the person, the system compares a received digital representation of a second biometric for the person to known biometric data for the person. When the digital representation of the first biometric has been thus verified, the system is operative to identify the person using the digital representation of the first biometric.
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4. The method of claim 1, wherein the digital representation of the first biometric and digital representation of the second biometric are received from a same device.
A system and method for biometric authentication involves capturing and processing multiple biometric inputs from a single device to enhance security and user verification. The technology addresses the limitations of single-factor biometric authentication, which can be vulnerable to spoofing or replication. By combining two distinct biometric inputs—such as fingerprint and facial recognition, or voice and iris scans—from the same device, the system improves accuracy and resistance to fraud. The device collects digital representations of both biometrics, processes them to extract unique features, and compares them against stored templates to verify identity. This approach ensures that authentication relies on multiple physiological or behavioral traits, reducing the risk of unauthorized access. The method may include preprocessing steps like noise reduction or feature extraction to improve matching performance. The system can be integrated into smartphones, security systems, or access control devices, providing a robust and convenient authentication solution. By leveraging multiple biometrics from a single source, the technology enhances security without requiring additional hardware, making it practical for widespread adoption.
5. The method of claim 1, wherein the digital representation of the first biometric and digital representation of the second biometric are received from different biometric reader devices.
This invention relates to biometric authentication systems, specifically improving security by combining multiple biometric inputs from distinct sources. The problem addressed is the vulnerability of single-source biometric authentication, which can be compromised by spoofing or sensor-specific attacks. The solution involves capturing at least two different biometric traits (e.g., fingerprint and iris scan) using separate biometric reader devices. Each biometric is converted into a digital representation, which is then processed to verify identity. The use of different devices enhances security by reducing the risk of coordinated attacks on a single sensor type or source. The system may also include steps to preprocess the biometric data, such as noise reduction or feature extraction, before comparison against stored templates. The method ensures that authentication requires successful verification of both biometrics, increasing resistance to fraud. This approach is particularly useful in high-security applications where single-factor authentication is insufficient. The invention may be implemented in physical access control, financial transactions, or digital identity verification systems.
6. The method of claim 1, further comprising prompting for the digital representation of the second biometric upon receiving the digital representation of the first biometric.
Biometric authentication systems verify user identity using unique biological traits, such as fingerprints or facial recognition. A challenge in these systems is ensuring accurate and secure verification, especially when multiple biometric inputs are required. Existing solutions may lack dynamic prompting mechanisms, leading to inefficiencies or security gaps. This invention improves biometric authentication by dynamically prompting for a second biometric input only after receiving the first. The system first captures a digital representation of a primary biometric trait, such as a fingerprint or iris scan. Upon successful capture, the system then prompts the user to provide a secondary biometric trait, such as a voice sample or facial scan. This sequential approach enhances security by requiring multiple verification steps while reducing user friction by avoiding unnecessary prompts. The method ensures that the second biometric is only requested after the first is validated, optimizing the authentication process. This dynamic prompting mechanism can be integrated into various biometric authentication systems, including access control, payment verification, and secure login processes. The invention addresses the need for balanced security and usability in biometric authentication workflows.
7. The method of claim 1, wherein the digital representation of the first biometric and the digital representation of the second biometric are received using a same sensor.
The invention relates to biometric authentication systems, specifically improving the accuracy and efficiency of multi-factor biometric verification. The problem addressed is the need for reliable and secure authentication methods that reduce false positives while minimizing user inconvenience. Traditional systems often require separate sensors for different biometric inputs, increasing cost and complexity. The invention describes a method where a single sensor captures both a first biometric and a second biometric from a user. The sensor generates digital representations of these biometrics, which are then processed to verify the user's identity. The use of a single sensor simplifies the hardware design and reduces the likelihood of synchronization errors between multiple sensors. The method ensures that the biometric data is captured in a coordinated manner, improving the accuracy of the authentication process. The system may involve comparing the captured biometrics against stored templates to confirm identity, with the single-sensor approach enhancing consistency and reducing the risk of spoofing or tampering. This approach is particularly useful in applications requiring high-security authentication, such as financial transactions, access control, or personal device unlocking. The invention aims to provide a more streamlined and secure biometric verification process by leveraging a unified sensing mechanism.
12. The system of claim 8, further comprising prompting for the digital representation of the second biometric upon determining that the digital representation of the first biometric is unverified.
This invention relates to biometric authentication systems designed to enhance security by verifying multiple biometric identifiers. The system addresses the problem of relying solely on a single biometric input, which can be vulnerable to spoofing or errors, by incorporating a secondary biometric verification step when the primary biometric fails to authenticate. The system includes a biometric input module configured to capture a digital representation of a first biometric, such as a fingerprint or facial scan, and a verification module that checks this representation against stored biometric data. If the first biometric is unverified—meaning it does not match the stored data or meets a threshold for authentication—the system automatically prompts for a second biometric input, such as a voice sample or iris scan. This secondary verification step ensures that authentication only proceeds when at least one biometric is successfully validated, reducing the risk of unauthorized access. The system may also include a user interface to guide the user through the biometric capture process and a decision engine that determines whether to request the second biometric based on predefined security policies or confidence thresholds. By dynamically adjusting the authentication flow, the system balances security and usability, particularly in high-risk scenarios where single-factor authentication may be insufficient. The invention is applicable in secure access control, financial transactions, and identity verification systems.
13. The system of claim 8, wherein the digital representation of the first biometric and the digital representation of the second biometric are received using different sensors.
Biometric authentication systems often rely on multiple biometric inputs to enhance security and accuracy. A prior art system addresses the challenge of integrating diverse biometric data by using different sensors to capture distinct biometric representations. The system includes a processing unit that receives a digital representation of a first biometric, such as a fingerprint, and a digital representation of a second biometric, such as facial recognition data. These representations are obtained using separate sensors optimized for each biometric type, ensuring high-fidelity data capture. The processing unit then compares the received biometric data against stored templates to verify identity. The system may also include a database for storing biometric templates and a user interface for initiating authentication. By leveraging multiple sensors, the system improves reliability and reduces false positives or negatives, making it suitable for high-security applications. The use of distinct sensors ensures compatibility with various biometric modalities, enhancing flexibility and adaptability in different environments. This approach mitigates the limitations of single-sensor systems, which may be prone to errors due to environmental factors or sensor limitations. The system's modular design allows for easy integration of additional biometric sensors as needed, supporting future advancements in biometric technology.
14. The system of claim 8, wherein the digital representation of the first biometric is unverified because the digital representation of the first biometric is previously unassociated with the identity of the person.
A biometric authentication system verifies the identity of a person by comparing a captured biometric sample against a stored digital representation of a previously enrolled biometric. The system includes a biometric sensor to capture a biometric sample from the person, a processor to compare the captured sample against stored digital representations of biometrics, and a database storing these representations. The system determines whether the captured biometric matches any stored representation and, if a match is found, authenticates the person. If no match is found, the system may flag the biometric as unverified because it is previously unassociated with any known identity in the database. The system may also include additional security measures, such as liveness detection to prevent spoofing, and may operate in real-time to provide immediate authentication results. The database may be centralized or distributed, and the system may support multiple biometric modalities, such as fingerprint, facial recognition, or iris scanning. The system is designed to enhance security by ensuring that only verified biometric data is used for authentication, reducing the risk of unauthorized access.
17. The computer program product of claim 15, further comprising fourth instructions executable by the processor to request the digital representation of the second biometric upon determining that the digital representation of the first biometric unverified as associated with an identity of the person.
This invention relates to biometric authentication systems, specifically improving verification processes when initial biometric data fails to confirm a person's identity. The system uses digital representations of biometric data, such as fingerprints or facial scans, to authenticate individuals. If the first biometric sample (e.g., a fingerprint) does not match stored records or fails verification, the system automatically requests a second biometric sample (e.g., a facial scan or iris scan) to reattempt authentication. This fallback mechanism enhances security by reducing false negatives while maintaining accuracy. The system processes the biometric data using computational instructions, comparing the samples against stored templates to determine identity matches. If the first biometric fails verification, the system triggers a request for the second biometric without manual intervention, streamlining the authentication workflow. This approach is particularly useful in high-security environments where multiple biometric modalities improve reliability. The invention ensures continuous authentication attempts until a valid match is found or the process is terminated, balancing usability and security.
18. The computer program product of claim 15, wherein the digital representation of the first biometric is received from a same electronic device as the digital representation of the second biometric.
The invention relates to biometric authentication systems, specifically improving security by cross-verifying multiple biometric inputs. The problem addressed is the vulnerability of single-factor biometric authentication, which can be compromised by spoofing or replication attacks. The solution involves a computer program product that processes digital representations of at least two distinct biometrics (e.g., fingerprint and facial recognition) to authenticate a user. The program compares these biometrics against stored templates and requires both to match for successful authentication. This dual-factor approach enhances security by reducing the risk of unauthorized access. The invention further specifies that the digital representations of the first and second biometrics are received from the same electronic device, ensuring consistency and reducing the likelihood of mismatched or tampered data. The system may include preprocessing steps to normalize the biometric data before comparison, improving accuracy. The program may also log authentication attempts and flag suspicious activity, such as repeated failures, to further enhance security. This approach is particularly useful in high-security applications like banking, healthcare, or government systems where robust authentication is critical.
19. The computer program product of claim 15, further comprising verifying that the digital representation of the first biometric is associated with the identity of the person by comparing the digital representation of the first biometric to an image of the person.
This invention relates to biometric authentication systems, specifically verifying the identity of a person using digital biometric representations. The problem addressed is ensuring that a digital biometric sample, such as a fingerprint or facial scan, is accurately linked to the claimed identity of the person. The solution involves comparing the digital biometric representation to a stored image of the person to confirm the association. This process helps prevent identity fraud by cross-referencing the biometric data with a visual record of the individual. The system may also include capturing the biometric data, generating a digital representation, and storing it in a database for future verification. The verification step ensures that the biometric sample matches the expected identity, enhancing security in authentication processes. This method is particularly useful in applications requiring high-security identity verification, such as financial transactions, access control, or legal documentation. The comparison step may involve image processing techniques to match features between the digital biometric representation and the stored image, ensuring accuracy and reliability. The overall system aims to provide a robust and secure way to authenticate identities using biometric data.
20. The computer program product of claim 15, wherein the digital representation of the second biometric is obtained from a monitored biometric capture.
A system and method for biometric authentication involves capturing and processing biometric data to verify identity. The technology addresses challenges in secure authentication, particularly in scenarios where traditional methods like passwords or static biometric scans are insufficient. The system captures a first biometric sample from a user, such as a fingerprint, facial scan, or voice recording, and generates a digital representation of this biometric data. This representation is then compared against a stored reference biometric to authenticate the user. The system also includes a mechanism to obtain a second biometric sample from a monitored biometric capture, which may involve continuous or periodic biometric monitoring to ensure ongoing authentication. This second biometric sample is also converted into a digital representation and compared against the stored reference or the first biometric sample to confirm identity. The monitored biometric capture may involve real-time or near-real-time monitoring to detect changes in biometric data, such as variations in fingerprints due to environmental factors or behavioral changes in voice patterns. The system may be used in applications requiring high-security authentication, such as financial transactions, access control, or continuous identity verification in sensitive environments. The digital representations of the biometrics are processed to ensure accurate and reliable matching, reducing false positives and false negatives in authentication. The system may also include error handling and fallback mechanisms to address discrepancies in biometric data.
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June 13, 2023
May 28, 2024
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